Tag: healthcare interoperability

Interoperability Tech Strengthens Acute-to-Post-Acute Care

Michelle Barlow, RN

By Michelle Barlow, RN, BSN, Director of Regulatory and Clinical Excellence, Homecare Homebase.

The transition from hospital to home is one of the most delicate moments in a patient’s journey. Both hospitals and home-based care providers, share the same goal, ensuring continuity of care and achieving better outcomes, but too often, they’re held back by fragmented technology and disconnected systems. Instead of working together seamlessly, the lack of communication creates unnecessary roadblocks that slow down the process and add strain to already stretched clinicians.

When discharge summaries, medication lists, and physician orders don’t transfer smoothly between electronic health records (EHRs), home health and hospice agencies are left to piece together vital information. In some cases, they’re still receiving referrals via fax or email, which means manually entering data before care can even begin. These inefficiencies aren’t just frustrating, they can put patients at risk by causing delays and gaps in care.

Creating a truly connected care continuum means breaking down these barriers and building systems that communicate effortlessly, so patients move from the hospital to home without missing a beat. It’s about giving clinicians the tools they need to focus on what matters most, delivering safe, effective, and compassionate care.

A focus on interoperability is closing these gaps and allows providers to establish repeatable interoperability best practices that can be used across multiple partnerships. Connecting hospital systems with post acute EHRs allows, real-time data exchange, removes guesswork from the referral process and increases timely initiation of care. Instead of waiting for documents to be sent back and forth, clinicians get instant access to the information they need to move forward with care – ensuring that post-acute teams can start treatment right away and reduce the chances of miscommunication, delays, or avoidable hospital readmissions.

Repairing the Communication Breakdown Between Hospitals and Home Health

One of the toughest challenges in moving patients from hospital to home care is simply staying connected. Too often, hospital discharge teams and home health agencies are working in silos, using completely different systems that make it hard to share crucial information. Without direct integration, important details can slip through the cracks—discharge summaries might be incomplete, medication changes can go unnoticed, and home health providers may find themselves making countless phone calls just to piece together a patient’s story.

This outdated, fragmented approach creates challenges for every part of the care team:
– For hospitals, a lack of coordination means higher readmission rates. When home health providers don’t have the full picture, follow-up visits might not be scheduled at the right frequency or may miss essential care elements. These gaps put patients at risk for complications that could have been avoided.

For home health agencies, waiting for hospital records slows down the start of care. Instead of focusing on the patient, clinicians spend valuable time chasing down information and waiting for physician approvals, wasting time that could be better spent delivering care.

For patients, it’s frustrating and confusing. Gaps in communication can mean delays in getting the care they need and a higher risk of being readmitted to the hospital.

The good news is that it doesn’t have to be this way. By integrating hospital and post-acute systems, we can keep everyone on the same page. When referrals, physician orders, and discharge notes move seamlessly between providers, home health teams can hit the ground running with a complete care plan. Orders are processed electronically, physician notes are instantly accessible, and the entire care team has a clear, up-to-date view of the patient’s condition. With smooth transitions, everyone benefits, especially the patient.

Reducing Readmissions with a More Connected System

Preventing unnecessary hospital readmissions is one of the biggest priorities in healthcare, and interoperability plays a key role. Many readmissions happen because of poorly managed transitions, patients leave the hospital without clear follow-up plans, medication reconciliation is incomplete, or home health teams don’t receive critical updates in time.

When hospitals and post-acute providers share data in real time, they can work together to prevent these avoidable setbacks. A connected system helps:

– Speed up medication reconciliation, ensuring patients receive the correct prescriptions before transitioning to home care.
– Provide immediate access to hospital records, allowing home health clinicians to understand a patient’s full medical history from the start.
– Enable real-time updates, so hospitals can be notified if a patient’s condition declines, allowing for early intervention before a readmission is necessary.

Instead of simply reacting to problems as they arise, real-time data exchange allows care teams to be proactive. If a home health provider can monitor updates from a patient’s hospital stay, they can anticipate complications and adjust care plans before an issue escalates.

Eliminating Administrative Waste in Post-Acute Care

Home-based care providers already navigate a complex landscape of payer requirements, compliance regulations, and documentation standards. Adding hospital referrals to the mix, especially when they arrive in fragmented formats, only increases the burden on staff, and the risk of errors and miscommunication.

Moving to an integrated system helps post-acute providers:

– Maintain an up-to-date patient record, reducing inconsistencies across care settings.
– Reduce paper-based documentation, eliminating extra administrative steps and human error.
– Improve workflow efficiency, freeing up clinicians to focus on patient care instead of excessive paperwork.
– Retain an EHR system with workflow that is tailored to home-based care needs rather than acute care preferences.

Health information exchanges (HIEs) and Fast Healthcare Interoperability Resources (FHIR) standards for APIs are making it easier for hospitals, home health agencies, and insurers to work from the same set of patient data. This shift from fragmented communication to real-time data access is helping healthcare move toward a more connected approach to post-acute care.

What’s Next for Interoperability in Post-Acute Care?

As hospitals deepen their partnerships with home-based care providers, seamless data exchange will become a deciding factor in how well these collaborations succeed. The next steps for improving interoperability should focus on:

– Expanding integration with behavioral health and social determinants of health (SDOH) data to better address patient needs beyond medical treatment.
– Automating prior authorizations to speed up referrals and reduce bottlenecks in post-acute care.
– Leveraging AI and predictive analytics to help identify high-risk patients and enable earlier interventions.

The ability to share patient data without friction is no longer just a convenience—it’s essential for delivering quality care. As technology advances, providers who embrace interoperability will see the biggest improvements in efficiency, care coordination, and patient outcomes. When hospitals and home health agencies can act as a true extension of one another, patients get the uninterrupted care they need, clinicians spend less time on administrative tasks, and healthcare as a whole moves toward a more connected future.

3 Interoperability Considerations For Health Plans

Profile photo of Bobby Sherwood
Bobby Sherwood

By Bobby Sherwood, vice president of product development, GuidingCare.

A lack of interoperability permeates U.S healthcare. Despite the rapid adoption of new technologies, we have failed to fully realize some of the most impactful opportunities they present. Data silos that hinder collaboration, efficiency, and innovation stubbornly persist across the industry. For health plans, embracing digital transformation to digitize process and improve member experience pays dividends, but can come with difficult integration and interoperability challenges if not done properly.

There has been a recent spotlight on government initiatives and regulations to address these growing concerns. Take the new CMS proposed rule on interoperability and prior authorization, which will require payers to implement an electronic prior authorization process, shorten the time frames for payers to respond to prior authorization requests, and establish policies to make the prior authorization process more efficient and transparent.

In a world where nearly anything can be instantaneously ordered from your mobile phone or laptop and delivered overnight, it seems inconceivable that prior authorizations – something so critical to member and population health – is managed by an antiquated system. This seamless exchange of data will reduce provider abrasion, improve the member experience and potentially their health outcomes, and ultimately decrease the cost of care, as the manual effort and time linked to prior authorizations markedly decreases.

As we execute on the year ahead, interoperability remains top-of-mind for stakeholders: a new report suggests that barriers such as poor data quality and information sharing remain challenging to over 60% of healthcare executives. For health plans prioritizing interoperability, consider these three areas of focus:

Continue Reading

Why Interoperability Should No Longer Remain An Obstacle In Healthcare

Joey Cavanaugh, RN

By Joey Cavanaugh, RN, chief operations officer, Zotec Partners.

The American healthcare system has long been burdened by interoperability issues preventing easy access to and sharing of important patient health data. Amid the ongoing COVID-19 pandemic, those issues have created additional challenges for physicians, administrators, and other industry partners. If these problems persist, they could impact provider business models negatively.

Increased consolidation among physician groups during the pandemic has resulted in a corresponding increase in coding operations for many practices. Given the gap between the demand for coders and the trained talent available to meet that demand, organizations have increasingly shifted toward outsourcing to fill critical technical roles. The process of outsourcing these skills, combined with a surge in the number of labor hours needed to meet organizational objectives, could increase the time to code or decrease the quality of output, ultimately creating revenue cycle issues.

If not careful, staffing issues can cause fluctuations in data quality. With less personnel available to ensure the correct information is entered into the correct fields, some organizations have found it difficult to fully harness the power of healthcare solutions to streamline revenue management and operations. Moreover, understaffed facilities may struggle to make the changes to technologies and internal processes that would equip them to take advantage of government programs providing reimbursements for COVID patient care. New CPT codes for COVID have also required insurance companies to update their processes during the pandemic, adding complexities for providers in how quickly they can exchange medical information.

From a clinical perspective, the pandemic’s far-reaching impact on the healthcare system has manifested in the form of lost productivity, resource deprivation, HIPAA breaches, and other, often severe, consequences. However, the strain it has put on payers and revenue cycle management systems has been somewhat less visible from the public eye. In the concerted effort to support clinicians and mitigate the pandemic’s effects on frontline workers, the focus for getting the right data into the right hands to ensure services could be paid for in a timely manner was temporarily deprioritized. Unless these interoperability challenges are addressed as an industry, the cost of healthcare will continue to rise, as will the clunky experiences for both providers and patients.

Continue Reading

Why Healthcare Interoperability Is So Important In 2022

Lisa Esch

By Lisa Esch, chief of strategy, innovation and provider industry solutions, NTT DATA Services.

The current state of our healthcare system is in disarray. Healthcare organizations are overworked and understaffed as they deal with the ongoing pandemic resulting in half of all healthcare workers reporting they’ve experienced burnout during this time.

Technology has the potential to solve these challenges, and as more digital health options become available, healthcare practitioners are using more tools that allow them to work more quickly and better serve patients.

Unfortunately, most health technology is developed in a vacuum creating silos of critical information inaccessible and unconnected in caring for patients. Disjointed and disconnected services result in key pieces of information not being available at the time and place required, and productivity can be impacted when healthcare practitioners have to navigate multiple source systems to retrieve data. In turn, this impacts the number of patients that can be seen in a given period and can potentially put human lives on the line if medically critical data is inaccessible in an emergency.

The healthcare community is beginning to embrace a solution to this problem: interoperability. Let’s explore what this means for healthcare providers and why it’s so important in the disorganized, digital healthcare system of 2022.

What’s healthcare interoperability? Why does it matter? 

Interoperability services and tools bridge the gap between incompatible systems and data sets, providing a more seamless experience for both patient and provider. It has two primary definitions:

Continue Reading

Interoperability In Healthcare Expanded To Record Levels During the COVID-19 Pandemic

As COVID-19 reshaped American healthcare, interoperability showed real progress with care providers using shared health intelligence more than ever to make care better, safer and more cost-effective, according to the Surescripts 2021 National Progress Report. The report shows how the Surescripts network helped inform billions of healthcare decisions—making prescriptions more affordable, boosting medication adherence, simplifying the specialty medication experience, and fortifying care management processes.

Tom Skelton

“This year’s National Progress Report demonstrates nationwide momentum toward interoperable, digital health intelligence sharing,” explained Tom Skelton, chief executive officer of Surescripts. “By leveraging the Surescripts network, healthcare professionals of all kinds are getting clinical intelligence at the right time, in the right place, so that they have the trusted insights they need to serve patients.”

Notable findings in the Surescripts 2021 National Progress Report include:

Continue Reading

How AI and Blockchain Can Help Ease Interoperability Between Healthcare Systems

By Tom Hickman, U.S. director of business development and sales, Chainyard.

The healthcare industry is under intense pressure to improve its efficiency. However, interoperability between technology and various integrated systems presents many challenges that are hindering health facilities from being fully connected and productive.

We have known for years that healthcare needs solutions that artificial intelligence can provide. But the initial proofs of concept have taken too long to materialize. Without clear boundaries and use cases showing how AI in healthcare can work, leadership teams are unable to horizontally collaborate with each other.

How AI in Healthcare Could Solve Interoperability Problems

Technology has the potential to transform the way healthcare works for patients, but right now, interoperability is difficult to attain. Despite industry guides such as the Fast Healthcare Interoperability Resources, data is still a messy business. Data is stored in different ways and in different silos — and not every facility has the ability to read and understand the information contained within the respective silos and make it actionable.

This has a heavy impact on how practitioners work with technology. A radiologist reading film and a doctor making a diagnosis for a chronic pain patient only have access to their siloed expertise. With AI solutions in healthcare, data can be drawn from different disciplines and diagnosis can become faster and smarter.

When used in conjunction with AI, blockchain technology has the power to help practitioners and organizations work together without security risks. Because the blockchain represents a transparent, single source of information that cannot be changed, it can store data from multiple sources and create a harmonized picture of truth that different users can access without bias. In addition, limits can be put in place as to who has access to the data.

This helps healthcare experts form a central hub where the very best knowledge, therapies, and drug research can be pooled, therefore helping target diseases more effectively while keeping patient and research data absolutely secure and private.

It’s clear that leaders at healthcare organizations need to remove the siloed approach and develop an atmosphere of increased collaboration. But how, exactly?

How Blockchain, AI, and Healthcare Can Work Together

Blockchain technology in healthcare helps fulfill all four kinds of interoperability defined by the Healthcare Information and Management Systems Society: foundational, structural, semantic, and organizational. Blockchain’s uses in healthcare create a basis — a structure — where data can live safely and transparently. Then, blockchain can enable a rendering that helps different kinds of readers see and understand the data.

Two aspects of blockchain technology that are especially interesting to the healthcare industry are permissioned blockchains and smart contracts. A permissioned blockchain maintains the privacy of data, knows all the stakeholders, and makes data viewable by actors on the network who are authorized to see it. Smart contracts are “instructions” on the blockchain that are executed automatically once all necessary conditions or events are met. This means decisions can be made available automatically without human intervention. That’s where the power of AI’s uses in healthcare really materialize. This harmonized dataset — coupled with safe and secure automation — means that AI can be used to make faster, better, and more predictive decisions.

Data is the engine behind AI, but it’s also becoming the engine behind healthcare systems and how doctors diagnose and treat patients. If we can aggregate and translate vast amounts of data into streamlined workflows, AI can be used to efficiently diagnose and monitor patients, detect illness, accelerate drug development, and seamlessly run clinical trials.

The ingredients for interoperability are all there, but it’s now up to operators and developers to find ways to work together. The benefits of AI in healthcare are massively transformative — as long as we can find ways to solve problematic perceptions of blockchain and data privacy and get human beings to open up their silos.

No one technology will save the future of healthcare interoperability. It will take collaboration between developers, operators, academics, drug researchers, and an interwoven stack of technologies to bring together a universe of data and put it to good use.

 Healthcare IT Services and Their Role In 2021 Regulatory Compliance

The Cures Act Final Rule’s technical requirements call for radical changes in electronic Patient Health Information Exchange (ePHI). Care providers must adhere to the CoP requirements for patient event notifications (ADT Notifications) and the real-time exchange of ePHI through APIs in 2021. In addition, payer organizations must facilitate the electronic exchange of ePHI between other payers and healthcare providers through a patient access API. They must also provide patients with a list of care providers to choose from for medical services by compiling the provider directory API.

These technical requirements are driven by the CMS’s pursuit of seamless semantic interoperability of healthcare systems and the ONC’s specifications for 2015 requirements of Certified Electronic Health Record Technology. While they affect care providers and payers, health IT developers (HIT vendors) are the catalyst to facilitate the patient centric care.

HIT vendors must swing into action to adhere to their regulatory requirements and enable providers and payers to do so in the process. The stifling competition that is already upon them only lifts the normal for innovation and reflex time. HIT software development requires specialized skill sets and exhaustive processes that escalate costs. In a bid to rein in these costs and adhere to regulatory requirements, HIT developers tend to dilute their competitive edge.

Continue Reading

Healthcare Interoperability Requires Better Data Integration Across The Healthcare Ecosystem: Now and In The Future

Drew Ivan

Q&A with Lyniate’s chief strategy officer, Drew Ivan.

While interoperability has always been one of healthcare’s greatest pain points, the last year or so has emphasized these challenges with the rising demand for data integration and information sharing. The pandemic has required high volumes of data integration, and it’s been difficult for organizations to adapt and respond in an effective and efficient way.

These challenges were further compounded this year with the impending ONC/CMS information blocking rules. With the previous administration’s focus on improving interoperability coinciding with a global health emergency, healthcare organizations had more on their plate than ever. As we look to the future of healthcare in a post-COVID environment, and to the new administration and its healthcare goals, what can healthcare organizations expect?

Healthcare organizations must remain flexible and optimize the organization to be as adaptable as possible. In our interview with Ivan, we explore what healthcare organizations should know about the information blocking rules and the new administration, what is really at the root of the healthcare interoperability problem, and best practices healthcare leaders can employ to set their organizations up for success now and in the future.

How would you define the healthcare interoperability problem?

Interoperability is an evergreen problem across the healthcare industry. As we continue to innovate new capabilities and concepts, we are also constantly expanding our interoperability needs. In a way, interoperability isn’t a problem to be solved. It’s an ongoing practice that has to evolve alongside our other capabilities. For example, there was a time not long ago when social determinants of health (SDoH) were not on anyone’s radar, but as SDoH became more important to healthcare practitioners, it was clear we needed not only to track and store SDoH-related data but also exchange that data across different software systems and organizations. The goal of HL7’s Gravity Project is to build out the standards for exchanging SDOH data using FHIR.

2020 was a tough year in healthcare. The demand for data integration was up, exposing the dire need for better data integration across the healthcare ecosystem. In a world where interoperability wasn’t an issue, how could the pandemic have looked different? 

The bad news is that we live in a world where the most reliable COVID vaccination records are stored on paper cards and interoperability is achieved by the patient themselves carrying the card from place to place. In an ideal world, the vaccination would come with an electronic record that the patient could capture on their mobile device and upload to their doctor’s EHR system, their employer’s HR system, and any other third party that needed to see proof of vaccination.

Although we’ve fallen far short of the ideal state, there are some interoperability bright spots to be happy about. For example, we’ve been able to onboard many new sources of lab result data and integrate that into public health departments. This has not always been easy, but because of the ONC’s prior work on the Promoting Interoperability program, we already had agreed-upon standards and an infrastructure in place to move the data from location to location.

Continue Reading